Mid-Level Full-Stack AI Solutions Engineer

Software Development

Full-time, exempt

AlarisPro is the aviation industry’s only aviation-minded, cloud-based UAS fleet management platform. It replaces spreadsheets and disconnected tools with one powerful system that unifies safety, compliance, and operational intelligence through centralized tracking of flights, maintenance, parts, and aircraft configuration.

Now we are building the future of Preventive Maintenance Artificial Intelligence. AlarisPro is evolving from a data provider into an AI solutions integrator—turning trusted operational data into intelligence, recommendations, and better decisions for UAS operators.

We are looking for a hands-on, growing engineer who can strengthen the platform we operate today while helping build the intelligent products of tomorrow. This is not a narrow database, front-end, or AI role. Working with experienced technical and product leaders, you will contribute across the current Microsoft-based application stack, modern cloud services, APIs, user experiences, and emerging AI capabilities.

You will be successful if you enjoy modernizing real production systems, learn the aviation domain, use AI coding tools fluently, and work with product and design partners to move from raw information to trusted decisions.

This is a hybrid position based in Southern Maryland. Applicants must currently reside in the United States and be legally authorized to work in the U.S. Company-paid relocation assistance is available for qualified candidates. Compensation will be competitive and commensurate with experience, qualifications, and technical expertise..

· Evolve the current platform. Develop, optimize, secure, and maintain AlarisPro’s MSSQL, ASP.NET/.NET, IIS, API, and React capabilities.

· Create the modern AI stack. Contribute to cloud-native services, AI-enabled workflows, retrieval and reasoning capabilities, model integrations, evaluation approaches, and production-ready data pipelines.

· Applications that turn information into decisions. Build experiences that surface risks, identify patterns, recommend actions, and support preventive maintenance and operational decision-making.

· Connect the ecosystem. Design secure, documented REST APIs and integrations that allow internal services, customers, partners, and AI agents to work with AlarisPro data and capabilities.

· Build usable front ends. Create responsive, accessible interfaces that make complex safety, compliance, maintenance, and fleet intelligence understandable and actionable.

· Use AI-assisted engineering responsibly. Apply AI tools (e.g., Codex, Claude Code, Cursor, etc.) to accelerate discovery, prototyping, refactoring, testing, documentation, and delivery—with human review and production engineering discipline.

· Prototype and deploy AI capabilities that use AlarisPro’s trusted operational data to improve maintenance, safety, compliance, and fleet decisions.

· Build and consume secure REST APIs using appropriate authentication patterns, including JWT, OAuth 2.0, API keys, and related controls.

· Contribute to cloud architecture, deployment automation, observability, CI/CD, testing, and scalable service design, with an emphasis on AWS environments.

· Help evaluate new models, frameworks, and coding agents; document findings, technical decisions, and measurable product outcomes.

· Partner with customers and stakeholders to understand workflows, pain points, risks, and decisions—not simply requested features.

· Use Design Thinking and product management methods to frame problems, prototype quickly, test assumptions, prioritize value, and iterate from evidence.

· Bridge aviation operational requirements, product objectives, user experience, and technical constraints to develop effective, practical software solutions.

· Contribute to roadmaps, requirements, acceptance criteria, code reviews, technical documentation, testing, and release readiness.

· Hands-on development with C# or VB.NET and ASP.NET Web Forms, MVC, .NET Core, or a comparable .NET application environment.

· Experience building and consuming REST APIs and working with cloud-hosted applications, databases, or services.

· Front-end development experience; HTML, JavaScript, CSS, React or comparable modern frameworks are strongly valued.

· Practical experience using Codex, Claude Code, Cursor, or similar AI coding tools.

· Working knowledge of Git, testing, secure development, code review, deployment, and production troubleshooting.

· Ability to contribute across the stack, communicate clearly, ask good questions, reliably estimate tasks assigned, document work, and deliver reliably and on time in a fast-moving environment.

· 3+ years of professional software or data-platform engineering experience, including meaningful hands-on experience with Microsoft SQL Server and T-SQL.

· AWS architecture, application/API hosting, WebSocket’s, managed databases, and cloud observability.

· SQL Agent automation, Microsoft SQL database administration, IIS configuration, high availability, and performance engineering.

· Applied AI/ML, LLM integrations, retrieval-augmented generation, automated integration testing, model evaluation, or MLOps/LLMOps.

· Product discovery, Design Thinking, user research, prototyping, backlog prioritization, or product management practices.

· Experience in aviation, UAS/drone operations, fleet operations of any type, preventive maintenance, safety, regulatory compliance, or other high-reliability domains are a plus.

We value speed, curiosity, and strong tool fluency. We also expect engineering judgment. AI-generated code must be understood, reviewed, tested, secured, documented, and operated like any other production code. The goal is not to generate more code; it is to deliver better outcomes faster.

Success in this role means consistently delivering high-quality software solutions that improve the AlarisPro platform and provide meaningful value to our customers. The ideal candidate will demonstrate:

· Ownership and Accountability: Take responsibility for assigned projects and deliver reliable, well-tested solutions on schedule with minimal oversight.

· Productivity and Execution: Consistently make measurable progress, manage priorities effectively, and deliver results in a fast-paced development environment.

· Problem-Solving: Independently analyze complex challenges, identify practical solutions, and exercise sound technical judgment.

· User-Centered Design: Apply Design Thinking principles to translate aviation operational requirements and customer needs into intuitive, efficient software solutions.

· Software Quality: Develop maintainable, scalable, and secure code while minimizing defects, technical debt, and unnecessary complexity.

· Collaboration and Communication: Work effectively with leadership, product stakeholders, and fellow engineers while proactively communicating progress, challenges, and solutions.

· Continuous Improvement: Demonstrate initiative in improving existing functionality, development processes, and overall user experience.

· Business and Mission Awareness: Understand how software development decisions affect customer operations, aviation safety, regulatory compliance, and AlarisPro's business objectives.

Join AlarisPro at an exciting stage of growth and innovation, where you'll have the opportunity to make a meaningful impact on the future of unmanned systems. You'll help shape the continued evolution of a proven, industry-leading platform at the intersection of aviation safety, cloud technology, and applied AI. Leveraging extensive real-world operational data, you'll contribute to the development of next-generation capabilities in predictive maintenance, reliability analytics, and intelligent decision support that improve aviation safety and operational efficiency.